CN117042679A

CN117042679A - Biological signal processing system and biological signal measuring system

Info

Publication number: CN117042679A
Application number: CN202280023790.8A
Authority: CN
Inventors: 栗栖雅文
Original assignee: TDK Corp
Current assignee: TDK Corp
Priority date: 2021-04-26
Filing date: 2022-03-18
Publication date: 2023-11-10
Also published as: EP4331472A1; WO2022230444A1; JP2022168642A; US20240156386A1

Abstract

A biological signal processing system is provided with: a section specification unit that specifies a section including a temporal position of a processing object for a biological signal divided into a plurality of sections in time; a processing control unit that selects a processing method for processing the biological signal at the time position of the processing target based on the section determined by the section determination unit; and a processing execution unit that executes processing of the biological signal by the processing method selected by the processing control unit.

Description

Biological signal processing system and biological signal measuring system

Technical Field

The present invention relates to a biological signal processing system and a biological signal measurement system.

Background

Measuring a biological signal and processing the measured biological signal.

Conventionally, development related to processing of biological signals has been performed.

In the technique described in patent document 1, a subject considered to be a heart disease is estimated by quantitatively capturing characteristics of measurement data obtained by a biological magnetic field measurement device, and a disease candidate is estimated based on the measurement data of the subject. In this way, this technique can provide a biological magnetic field measurement device having a diagnosis support function that can support diagnosis by a doctor, prevent missed observation of a disease, and greatly shorten diagnosis time (see paragraph 0004 of patent document 1). In this technique, for example, when a magnetic field emitted from a living body of a subject is mainly a magnetic field emitted from the heart, a characteristic parameter including a current direction in the vicinity of an R peak for a predetermined period of time is calculated (see claim 1 and claim 3 of patent literature 1).

In the technique described in patent document 2, the following method is proposed: the method includes dividing a plurality of repetitive signal features in a biomedical signal into sections, analyzing one or a plurality of sections, finding out values of a plurality of parameters describing the shape of one or a plurality of sections, recording the values, and tracking changes in the values by the biomedical signal (see claim 1 of patent document 2). In this technique, for example, a template is defined based on the shape of one or a plurality of waveforms (refer to claim 19 of patent document 2).

Prior art literature

Patent literature

Patent document 1: japanese patent laid-open publication No. 2003-144406

Patent document 2: japanese patent application laid-open No. 2010-510851

Disclosure of Invention

Technical problem to be solved by the invention

However, in the conventional technique described above, there are insufficient points for optimizing processing for each characteristic section of a biological signal.

For example, in a waveform of a Magnetocardiogram (MCG) signal, which is an example of a biological signal, the amplitude and frequency are different for each section such as P-wave, QRS group, T-wave, and the like in 1 heartbeat. Therefore, if the uniform processing is performed on all the sections of the waveform of the magnetocardiogram signal, there are cases where a section for realizing the proper processing and a section for failing to realize the proper processing are mixed together, and the optimum result is not obtained.

In addition, similar problems may occur in other biological signals such as Electrocardiogram (ECG) signals.

The present invention has been made in view of the above circumstances, and has an object to provide a biological signal processing system and a biological signal measurement system capable of performing appropriate processing for each section characteristic of a biological signal.

Technical means for solving the problems

One embodiment is a biological signal processing system, including: a section specifying unit that specifies a section including a temporal position of a processing object for a biological signal divided into a plurality of sections in time; a processing control unit configured to select a processing method for processing the biological signal at a time position of the processing target based on the section determined by the section determination unit; and a processing execution unit configured to execute processing of the biological signal by the processing method selected by the processing control unit.

One embodiment is a biological signal measurement system including a biological signal processing system and a biological signal measurement device that measures the biological signal.

ADVANTAGEOUS EFFECTS OF INVENTION

According to the present invention, in the biological signal processing system and the biological signal measuring system, it is possible to perform appropriate processing for each section characteristic of the biological signal.

Drawings

Fig. 1 is a diagram showing a schematic configuration of a biological signal measurement system including a biological signal processing system according to an embodiment.

Fig. 2 is a diagram showing an electrocardiogram signal corresponding to a magnetocardiogram signal which is an example of a biological signal according to the embodiment.

Fig. 3 is a diagram showing an example of a measurement unit of the biological signal measurement device according to the embodiment.

Fig. 4 is a diagram showing a display example of the current estimation calculation result according to the embodiment.

Fig. 5 is a diagram showing a display example of the magnetocardiogram signal and the electrocardiographic signal according to the embodiment.

Fig. 6 is a diagram showing an example of the result of the frequency filtering process performed on the biological signal in all the sections in the frequency filtering method a1 according to the embodiment.

Fig. 7 is a diagram showing an example of the result of the frequency filtering process performed in the frequency filtering method a2 according to the embodiment in the biological signal of all the sections.

Fig. 8 is a diagram showing an example of the result of performing the frequency filtering process of the frequency filtering method a1 according to the embodiment on the biological signal in the section B1.

Fig. 9 is a diagram showing an example of the result of performing the frequency filtering process of the frequency filtering method a2 according to the embodiment on the biological signal in the section B1.

Fig. 10 is a diagram showing an example of the result of performing the frequency filtering process of the frequency filtering method a1 according to the embodiment on the biological signal in the section B2.

Fig. 11 is a diagram showing an example of the result of performing the frequency filtering process of the frequency filtering method a2 according to the embodiment on the biological signal in the section B2.

Fig. 12 is a diagram showing an example of two different times of biological signals according to the embodiment.

Fig. 13 is a diagram showing a display example of the result of the calculation process of the current estimation calculation method B1 according to the embodiment performed on the biological signal in the section B1.

Fig. 14 is a diagram showing a display example of the result of the calculation process of the current estimation calculation method B2 according to the embodiment performed on the biological signal in the section B1.

Fig. 15 is a diagram showing a display example of the result of the calculation process of the current estimation calculation method B1 according to the embodiment performed on the biological signal in the section B2.

Fig. 16 is a diagram showing a display example of the result of the calculation process of the current estimation calculation method B2 according to the embodiment performed on the biological signal in the section B2.

Fig. 17 is a diagram showing an example of a procedure of a process performed by the biological signal processing system in the biological signal measurement system according to the embodiment.

Fig. 18 is a diagram showing another example of a procedure of a process performed by the biological signal processing system in the biological signal measurement system according to the embodiment.

Fig. 19 is a diagram showing an example of a measuring unit of a biological signal measuring device according to a modification of the embodiment.

Detailed Description

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[ biological Signal measurement System ]

Fig. 1 is a diagram showing a schematic configuration of a biological signal measurement system 1 including a biological signal processing system 12 according to an embodiment.

The biological signal measurement system 1 includes a biological signal measurement device 11 and a biological signal processing system 12.

In the present embodiment, the biological signal measuring device 11 and the biological signal processing system 12 are shown as separate structural examples, but the biological signal processing system 12 may include the biological signal measuring device 11 as another structural example.

< biological Signal measurement device >)

The biological signal measuring device 11 measures a biological signal.

In the present embodiment, the biological signal measuring apparatus 11 includes a magnetocardiograph, and measures a biological magnetic field in a front surface (a surface on which a abdomen is located) of a portion (in the present embodiment, referred to as an upper body portion for convenience of explanation) from a shoulder to a trunk of a person by the magnetocardiograph, and detects a biological signal which is a measurement signal. The biological signal measuring device 11 may measure a biological magnetic field on a side surface (side surfaces on both sides) or a back surface (surface on which the back is located) by the magnetocardiograph, in addition to the front surface.

Further, the biological signal measuring device 11 may be configured to measure an arbitrary portion by a magnetocardiograph, not limited to the example of the present embodiment.

The biological signal measuring device 11 may measure a plurality of sites simultaneously for the same person. In this embodiment, each of the plurality of measurement systems is referred to as a channel.

For example, the biosignal measurement device 11 includes sensors for measuring signals for each channel, and the measurement results of the plurality of channels are obtained by one measurement by the sensors of the plurality of channels.

Here, the biological signal measuring device 11 may be provided with an arbitrary measuring instrument other than the magnetocardiogram, or may measure an arbitrary biological signal by the measuring instrument instead of the magnetocardiogram signal according to the present embodiment.

For example, the biological signal measuring device 11 may be provided with an electrocardiograph, and the electrocardiograph may measure an electrocardiographic signal of a person as the biological signal.

For example, the biological signal measuring device 11 may measure the magnetocardiogram signal and the electrocardiographic signal simultaneously for the same person.

The biological signal (magnetocardiographic signal in the present embodiment) measured by the biological signal measuring device 11 is input to the biological signal processing system 12.

Here, the biological signal may be input to the biological signal processing system 12 by any method. Specifically, the biological signal may be transmitted from the biological signal measuring device 11 to the biological signal processing system 12 by wire or wirelessly through communication, or the biological signal may be output from the biological signal measuring device 11 and stored in a removable storage device, and the storage device may be transported and input from the storage device to the biological signal processing system 12. The storage device may be, for example, a USB (Universal Serial Bus (universal serial bus)) memory or the like.

The biological signal outputted from the biological signal measuring device 11 and inputted to the biological signal processing system 12 may be, for example, a raw signal to be measured or a signal obtained by subjecting a raw signal to a predetermined process.

The biological signal may be an analog signal or may be a digital signal. In the present embodiment, the biological signal processed by the biological signal processing system 12 is shown as a configuration example in which the biological signal is processed by the biological signal processing system 12 as a digital signal (digital data) by the biological signal measuring device 11 or the biological signal processing system 12, but as another configuration example, a configuration in which the biological signal is processed by the biological signal processing system 12 as an analog signal may be used.

Further, regarding measurement by a magnetocardiogram, it has been studied to obtain a three-dimensional magnetic field distribution by arrangement of sensors, obtain a magnetic field distribution of a vector in the 3-axis direction, reconstruct a current source from magnetic field data (three-dimensional distribution estimation), and the like. Therefore, in measurement with a magnetocardiogram, it is expected to obtain various kinds of information distributed in three dimensions as compared with the case of an electrocardiogram, and a technique for displaying information distributed in space by a more visually recognized method is required.

In the present embodiment, such a requirement can be satisfied.

Biological Signal processing System

The biological signal processing system 12 includes an input unit 111, an output unit 112, a storage unit 113, and a control unit 114.

The input unit 111 includes a biological signal acquisition unit 131.

The output unit 112 includes a display unit 141.

The control unit 114 includes a section specification unit 151, a biological signal processing unit 152, and a display control unit 153.

The section specification unit 151 includes a section dividing unit 171 and a period specification unit 172.

The biological signal processing unit 152 includes a processing control unit 191 and a processing execution unit 192.

The input unit 111 performs an input from the outside.

In the present embodiment, the input unit 111 inputs the biological signal output from the biological signal measuring device 11. Specifically, the input unit 111 may input the biological signal by receiving the biological signal transmitted from the biological signal measuring device 11, or may input the biological signal stored in a portable storage device from the storage device.

The input unit 111 may have an operation unit operated by a user, for example, or may input information corresponding to the content of an operation performed by the user to the operation unit.

The biological signal acquisition unit 131 acquires the biological signal input from the input unit 111.

The biological signal acquisition unit 131 may store the acquired biological signal in the storage unit 113.

Here, when the biological signal input from the input unit 111 is an analog signal, the biological signal acquisition unit 131 may have an a/D (Analog to Digital) conversion function, for example, to convert the biological signal from an analog signal to a digital signal.

When the biological signal processing system 12 is applied to real-time processing, the biological signal acquisition unit 131 acquires a biological signal in real time. When the biological signal processing system 12 is not applied to the real-time processing, the biological signal acquisition unit 131 may acquire the biological signal in real time.

The output unit 112 outputs the data to the outside.

The display unit 141 displays and outputs information related to the processing result of the biological signal.

The display unit 141 has a screen such as a liquid crystal display (LCD: liquid Crystal Display), and displays and outputs information on the processing result of the biological signal on the screen. As another configuration example, the display unit 141 may print and output information on the processing result of the biological signal on a sheet.

The output unit 112 may have a function of outputting the sound in another manner, such as outputting the sound.

The storage unit 113 has a storage device such as a memory, for example, and stores information.

The storage unit 113 stores, for example, the input biological signal and information such as the processing result of the biological signal.

The storage unit 113 stores information such as a control program.

The control unit 114 performs various processes or controls in the biological signal processing system 12. In the present embodiment, the control unit 114 includes a processor such as a CPU (Central Processing Unit (central processing unit)) and executes a control program stored in the storage unit 113 to perform various processes and controls.

The processor further includes an arithmetic device for performing various operations.

Determination of the interval

The section specification unit 151 specifies a section in the biological signal. In the present embodiment, the section is a section in time.

The section dividing unit 171 has a function of dividing the period of the biological signal into a plurality of sections. As a method of dividing the period of the biological signal into a plurality of sections by the section dividing unit 171, any method may be used.

The period determination unit 172 has a function of determining the period of the biological signal. As a method for determining the period of the biological signal by the period determining unit 172, any method may be used.

Here, the method of determining the section in the biological signal by the section determining unit 151 may be arbitrary.

In addition, when determining the section in the biological signal, the section determining unit 151 may use one or both of the function of the section dividing unit 171 and the function of the period determining unit 172.

In this case, the section specification unit 151 may not include an unused functional unit (here, one or both of the section dividing unit 171 and the period specification unit 172) in the section specification unit 151, instead of using one or both of the function of the section dividing unit 171 and the function of the period specification unit 172 to specify the section in the biological signal.

As an example, the section specification unit 151 may specify a predetermined section among a plurality of sections preset for the biological signal. In this case, the section dividing unit 171 and the period determining unit 172 may not be provided in the section determining unit 151.

As another example, the section specification unit 151 may divide the period of the biological signal into a plurality of sections by the section dividing unit 171, and specify a predetermined section among the divided sections. In this case, the period determination unit 172 may not be provided in the section determination unit 151.

As another example, the section specification unit 151 may specify the period of the biological signal by the period specification unit 172, and may specify a predetermined section in the biological signal based on the specified period. In this case, the section dividing unit 171 may not be provided in the section specifying unit 151.

As another example, the section specification unit 151 may specify the period of the biological signal by the period specification unit 172, divide the period of the biological signal into a plurality of sections by the section dividing unit 171, and specify a predetermined section among the divided sections.

Specifically, the section dividing unit 171 may detect a characteristic amount of the read biological signal, and divide the section based on the detected characteristic amount. The feature amount may be any feature amount, or may be a feature amount of a waveform of a biological signal.

For example, the section dividing unit 171 may detect a peak of the read biological signal and divide the section based on the detected peak. In this case, as an example, a pattern in which a peak appears in the biological signal to be measured is stored in the storage unit 113 in advance, and the section dividing unit 171 may divide the section based on the pattern and the peak detected from the measurement result (biological signal).

As a specific example, the section dividing unit 171 may divide sections as determined by a user operation.

As a specific example, the section dividing unit 171 may dynamically (in real time) process the biological signal to divide the section. In this case, as an example, a model relating to a dynamic characteristic amount such as a change in the amplitude of a biological signal may be stored in the storage unit 113 in advance, and the section dividing unit 171 may divide sections based on the model and the dynamic characteristic amount detected from the measurement result (biological signal).

Specifically, the section specification unit 151 may specify a period for a biological signal acquired dynamically (in real time) by the period specification unit 172, and estimate a temporal position of the processing target based on the specified period.

The section specification unit 151 may, for example, perform division of a section in a future (future than the past) time zone in the biological signal or specification of a section based on a section in a past time zone in the biological signal. In the present embodiment, the biological signal is a signal in which periodic waveforms having the same characteristics are repeated, and the period (or section) in a certain period can be estimated from the period (or section) in a period of time that has elapsed. For example, the section specification unit 151 may specify the next period (or the section in the next period) of the biological signal based on the period (or the section) of the biological signal before the one period.

In this case, when it is determined that the period of the biological signal gradually becomes shorter, the section determining unit 151 may estimate a period shorter than the previous period as the next period. As such a case, for example, the period of the heartbeat of the measurement target person may become gradually shorter. On the other hand, when it is determined that the period of the biological signal is gradually longer, the section determining unit 151 may estimate a period longer than the previous period as the next period. As such a case, for example, the cycle of the heartbeat of the measurement target person may become longer.

For example, if a pattern (pattern) that is 1 time, a relatively short period, or a relatively long period is preset or determined among a predetermined number of times, the period determination unit 151 may estimate the period (or the period) based on the pattern.

The period determination unit 172 may determine the period using, for example, the number of samples, or may determine the period based on the intervals of peaks detected from the data of the biological signal (biological data). In the present embodiment, the period determination unit 172 may determine the period based on the analysis result of the biological signal instead of the biological signal, for example.

The section specification unit 151 may estimate the time at which the information (information related to the biological signal) to be processed is located in the period based on the period specified by the period specification unit 172. The time may be an absolute time as long as the position in the cycle can be determined. That is, the section specification unit 151 may estimate which position information (i.e., which position-based information of the biological signal) matches the information of the processing target (information related to the biological signal) in one cycle.

In the present embodiment, the section specification unit 151 is shown as a configuration in which the section specification unit 151 specifies the section based on the biological signal (in the present embodiment, the magnetocardiogram signal) to be subjected to the main processing, and then the biological signal processing unit 152 performs the processing of the biological signal (in the present embodiment, the magnetocardiogram signal), but as another configuration example, a configuration in which the section specification unit 151 specifies the section based on another biological signal (for example, an electrocardiogram signal measured simultaneously with the biological signal to be subjected to the main processing) associated with the biological signal (in the present embodiment, the magnetocardiogram signal) to be subjected to the main processing, and then the biological signal processing unit 152 performs the processing of the biological signal (in the present embodiment, the magnetocardiogram signal) to be subjected to the main processing.

Processing of biological signals

The biological signal processing unit 152 processes biological signals.

The processing execution unit 192 executes processing of the biological signal. In the present embodiment, the processing execution unit 192 has a function of executing processing of a biological signal by switching a plurality of different processing methods with respect to the same kind of processing.

The process control section 191 controls execution of the process by the process execution section 192. In the present embodiment, the processing control section 191 selects a processing method based on the section determined by the section determining section 151, and controls the processing executing section 192 so that the processing executing section 192 executes processing of the biological signal by the selected processing method. For example, the process control unit 191 selects a different processing method for at least one section than for other sections.

Here, in the present embodiment, as the same kind of processing, 3 kinds of processing, such as processing of frequency filtering, processing of current estimation operation, and processing of region extraction, are exemplified.

As a plurality of different processing methods related to each type of processing, a plurality of different frequency filtering methods, a plurality of different current estimation calculation methods, and a plurality of different region extraction methods are exemplified. The names such as the frequency filtering method, the current estimation calculation method, and the region extraction method are for convenience of description, and are not limited to these names.

Treatment of biological signals: frequency filtering method >, and computer program product

The frequency filtering method is a method of applying predetermined frequency filtering to a biological signal. The plurality of different frequency filtering methods are methods of applying a process of frequency filtering having different characteristics to a biological signal, respectively.

The number of the plurality of different frequency filtering methods may be any value of 2 or more.

The correspondence relation between each of the plurality of sections and each of the plurality of frequency filtering methods may be fixedly set in advance or may be variable. When the correspondence relationship is variable, for example, the initial content of the correspondence relationship may be set in advance, or the correspondence relationship may not be set in the initial stage.

When the correspondence relationship is variable, the correspondence relationship may be automatically determined and set (including update setting) by the control unit 114 (for example, the process control unit 191) according to a predetermined rule, or may be arbitrarily set (including update setting) by a user operation, or may be set by both of them. The rule may be described in the control program or a parameter thereof.

There may be cases where two or more different regions correspond to the same frequency filtering method.

For example, in the frequency filtering method, if the type of biological signal (magnetocardiogram signal in the present embodiment) and the section are determined, a process suitable for the frequency filtering of the section is determined (or estimated), and in this case, the application of such a process of frequency filtering may be fixedly set in advance, but the process of frequency filtering to be applied may be arbitrarily changed according to the preference of the user or the like. The processing of the applied frequency filtering may be automatically determined by the control unit 114 (e.g., the processing control unit 191) according to a rule based on the characteristics (e.g., 1 or more of frequency, amplitude, etc.) of the signal components of the corresponding section in the actual measurement signal (biological signal).

As a frequency filtering method of each section, for example, a process of applying frequency filtering having the following filter characteristics is applied: the frequency region of the signal component of interest in each section is passed, and the frequency region of the other signal component (particularly, the frequency region of the signal component having a large amplitude) is removed (e.g., reduced).

Treatment of biological signals: current estimation calculation method

The current estimation calculation method is a method of applying a predetermined calculation process to a biological signal in order to estimate a current based on the biological signal. The plurality of different current estimation calculation methods are methods in which different calculation processes are applied to a biological signal. In the present embodiment, the biological signal is a magnetocardiogram signal, and as these calculation methods, a spatial filtering method for solving an inverse problem of a signal source estimated from the magnetocardiogram is used.

The number of the plurality of different current estimation calculation methods may be any value of 2 or more.

As the calculation method, other calculation methods may be used instead of the current estimation calculation method.

The correspondence relation between each of the plurality of sections and each of the plurality of current estimation calculation methods may be fixedly set in advance or may be variable. When the correspondence relationship is variable, for example, the initial content of the correspondence relationship may be set in advance, or the correspondence relationship may not be set in the initial stage.

There may be cases where two or more different regions correspond to the same current estimation calculation method.

For example, in the current estimation calculation method, when the type of biological signal (the magnetocardiogram signal in the present embodiment) and the section are determined, the calculation process suitable for the section is determined (or estimated), and in this case, the application of such calculation process may be fixedly set in advance, but the applied calculation process may be arbitrarily changed according to the preference of the user or the like. The control unit 114 (e.g., the processing control unit 191) may automatically determine the applied arithmetic processing according to a rule based on the characteristics (e.g., 1 or more of frequency, amplitude, etc.) of the signal components in the corresponding section in the actual measurement signal (biological signal).

Treatment of biological signals: region extraction method >)

The region extraction method is a method of applying a region extraction process of extracting a biological signal of a predetermined region to be processed in a living body (human in this embodiment) to the biological signal. The plurality of different region extraction methods are methods in which different region extraction processes are applied to biological signals, respectively. In the present embodiment, the plurality of different region extraction methods are different methods for the channels to be processed among the measurement results (biosignals) of the plurality of channels, respectively. The number of channels to be processed by each region extraction method may be any value of 1 or more.

The number of the plurality of different region extraction methods may be any value of 2 or more.

The correspondence between each of the plurality of sections and each of the plurality of region extraction methods may be fixedly set in advance or may be variable. When the correspondence relationship is variable, for example, the initial content of the correspondence relationship may be set in advance, or the correspondence relationship may not be set in the initial stage.

There may be cases where the same region extraction method is associated with 2 or more different regions.

For example, regarding the region extraction method, if the type of biological signal (magnetocardiogram signal in the present embodiment) and the section are determined, the region extraction process suitable for the section is determined (or estimated), and in this case, the application of such region extraction process may be fixedly set in advance, but the applied region extraction process may be arbitrarily changed according to the preference of the user or the like. The control unit 114 (e.g., the process control unit 191) may automatically determine the applied region extraction process according to a rule based on the characteristics (e.g., 1 or more of frequency, amplitude, etc.) of the signal components of the corresponding section in the actual measurement signal (biological signal).

Treatment of biological signals: selection of overall processing method

In the present embodiment, the processing control unit 191 selects one region extraction method, one frequency filtering method, and one current estimation calculation method based on the section determined by the section determination unit 151.

As an example, the processing execution unit 192 executes the processing of the frequency filtering applied by the frequency filtering method selected by the processing control unit 191 on the measurement result (biological signal) of the channel to be processed by the region extraction method selected by the processing control unit 191, and then executes the arithmetic processing applied by the current estimation arithmetic method selected by the processing control unit 191 on the biological signal on which the processing of the frequency filtering is executed.

As another example, the process execution section 192 may first execute processing of frequency filtering applied by the frequency filtering method selected by the process control section 191 with respect to the measurement results (biological signals) of all channels. Then, the processing execution unit 192 executes the arithmetic processing applied by the current estimation arithmetic method selected by the processing control unit 191 to the channel to be processed by the region extraction method selected by the processing control unit 191 among the biological signals of all the channels to which the frequency filtering processing has been performed.

In the present embodiment, the case where 3 kinds of processing methods, i.e., a plurality of different frequency filtering methods, a plurality of different current estimation calculation methods, and a plurality of different region extraction methods, can be selected as the processing methods is shown, but as another configuration example, a configuration may be used in which any 1 kind of processing method of the frequency filtering method, the current estimation calculation method, and the region extraction method can be selected, or a configuration may be used in which any two kinds of processing methods can be selected.

As the processing method, a configuration capable of selecting 4 or more processing methods may be used.

The processing method that can be selected is not limited to the processing method (frequency filtering method, current estimation calculation method, region extraction method) in the present embodiment, and any processing method may be used.

In the present embodiment, although the case where at least one processing method is switched based on the section specified by the section specification unit 151 has been described, the biological signal processing unit 152 (the processing control unit 191 and the processing execution unit 192) may also have a function of performing the processing of the biological signal by the same processing method for all the sections regardless of the section of the biological signal.

Treatment of biological signals: feedback to interval determination

The section specification unit 151 may refer to the result of the signal processing performed by the biological signal processing unit 152 when specifying the section in the biological signal. As a result of the signal processing, for example, a result of the processing by the frequency filtering method may be used, a result of the processing by the current estimation operation method after the processing by the frequency filtering method may be used, or both of them may be used. In the result of the signal processing performed by the biological signal processing unit 152, characteristics of the biological signal (for example, characteristics such as peaks of respective sections) may appear stronger than before the signal processing, and may be useful for determining sections in the biological signal.

In this way, the section specification unit 151 may perform the section specification based on the result of performing the predetermined process on the biological signal. The predetermined processing may be all or part of the processing performed by the biological signal processing unit 152.

For example, the section specification unit 151 may perform the section specification based on the detection result of the noise of the biological signal.

Specifically, the section dividing unit 171 may divide the sections based on the detection result of the noise of the biological signal.

Specifically, the period determination unit 172 may determine the period based on the detection result of the noise of the biological signal.

Specifically, the section specification unit 151 may estimate the temporal position of the processing target based on the detection result of the noise of the biological signal.

In these cases, the control unit 114 has a function of a noise detection unit that detects noise included in the biological signal. This function may be provided in the biological signal processing unit 152, for example. The detection result of the noise may be, for example, a level or waveform of the noise. The noise may also be white noise, for example.

The section specification unit 151 may adjust the section (for example, a predetermined section or a divided section) based on the detection result of the noise.

Specifically, the section specification unit 151 may perform adjustment to narrow one or both ends (the boundary of the point at which the time is smallest and the boundary of the point at which the time is largest) of a certain section when a condition (or a condition exceeding a predetermined value) that a value related to noise in the section is equal to or greater than a predetermined value is satisfied.

In a specific example, the section specification unit 151 may perform adjustment to enlarge one or both ends (the boundary between the points at which the time is minimum and the boundary between the points at which the time is maximum) of a certain section when a condition (or a condition that the value related to noise in the section is less than a predetermined value) is satisfied.

Here, as the value related to noise, for example, the level of noise may be used, or a ratio of the level of noise to the level of a noise-loaded biological signal (biological signal in this example) may be used.

Fig. 1 schematically shows an arrow FB1 indicating feedback from the biological signal processing unit 152 to the section determining unit 151.

Further, the feedback from the biological signal processing unit 152 to the section specifying unit 151 may not necessarily be performed.

Treatment of biological signals: interval without processing >

The biological signal processing unit 152 may not perform the frequency filtering process and the operation process of the current estimation operation method on the biological signal of the section that does not require the processing, may remove the biological signal of the section by the frequency filtering process that removes the filter characteristic of the biological signal of the section, or may delete only the biological signal of the section as a signal of a fixed level (for example, zero level).

The section that does not require processing may be set in advance, for example, or may be set by a user operation.

As another example, the biological signal processing unit 152 may determine that a section other than the one or more sections of interest is a section that does not require processing. The region of interest may be set in advance, for example, or may be set by a user operation.

Control of display

The display control unit 153 controls the display mode when the information related to the biological signal is displayed on the display unit 141. In the present embodiment, the display control unit 153 controls the display mode of the information related to the biological signal in each section based on the section determined by the section determining unit 151. In this case, the display control unit 153 may control the display mode of the result of the processing performed by the processing method (i.e., the processing method corresponding to each section) according to the processing method selected by the biological signal processing unit 152, for example.

As the information related to the biological signal, for example, information of the biological signal (itself) or information of a result of performing a predetermined process on the biological signal can be used. The predetermined processing may be processing of frequency filtering, or may be both processing of frequency filtering and processing of operation of a current estimation operation method.

For example, when information related to a biological signal is displayed, the display control unit 153 may control to display information indicating a range of a section for one or more sections among a plurality of sections when the information extends over the sections. The range of the section may be displayed by information such as a line or a symbol indicating the whole range, may be displayed using a different color for each section, or may be displayed by information indicating a boundary line with respect to the division of the adjacent section.

In this case, the display control unit 153 may control one or both of the information (for example, waveform or the like) of one of the two sections and the information (for example, waveform or the like) of the other section so as to smoothly connect these pieces of information at the boundary between the two sections when the processing methods are different between the two sections.

When displaying time-series information, the display control unit 153 may switch the time range to be displayed within each section. For example, when information related to a biological signal is displayed, the display control unit 153 may control the display of the information on different screen displays for each of a plurality of sections. As an example, the display control unit 153 may control to display only information of a specific section on the screen, and may switch the screen display by switching the section to be displayed.

For example, the display control unit 153 may control to display information related to each section for each section. The information related to each section is not particularly limited, and may include, for example, one or more of information for identifying the section, information for identifying a processing method applied to each section, and the like.

Here, the information identifying the sections may be a name, a number, a mark, or the like of each section.

In the present embodiment, the information identifying the processing method may be any one of the information identifying the frequency filtering method, the information identifying the current estimation calculation method, and the information identifying the region extraction method, or any two or three (all) of them. The information identifying these processing methods may be a name, a number, a flag, or the like of each processing method, or may be information indicating characteristics of each processing method.

As a characteristic of the frequency filtering method, as an example, a frequency representing the filtering characteristic may be used, and for example, in the case of applying a High Pass Filter (HPF) or a Low Pass Filter (LPF), a cut-off frequency may also be used.

When displaying information corresponding to a region of a living body (human body in the present embodiment), the display control unit 153 may switch the region to be displayed for each section.

For example, when information is displayed in association with a region of a living body (human body in the present embodiment) by two-dimensional display (planar display) or three-dimensional display (stereoscopic display), the display control unit 153 may control to display the information so as to be focused on the information of the region extracted by the region extraction method associated with each region for each region. As a display method of information focused on the region, for example, a display method of displaying the information by cutting out the region, a display method of displaying the information by enlarging the region, or the like may be used.

Here, regarding the plurality of sections, the correspondence relationship between each section and the name of the section, the processing method (frequency filtering method, current estimation calculation method, region extraction method in the present embodiment) applied for each section, and the like may be stored in the storage unit 113 as section information. In this case, the display control unit 153 may control the display mode based on the section information.

Structure example of control part

The section specification unit 151 (the section dividing unit 171, the period specification unit 172), the biological signal processing unit 152 (the processing control unit 191, the processing execution unit 192), and the display control unit 153 are functional units exemplified for explaining the functions of the control unit 114, and the control unit 114 may have any functions without being limited to the present embodiment.

In the example of fig. 1, the biological signal processing system 12 is shown as including the functional units (the input unit 111, the output unit 112, the storage unit 113, and the control unit 114), but these functional units may be configured as an integrated device or may be configured as separate devices that are distributed in two or more.

The configuration of the functional units (the input unit 111, the output unit 112, the storage unit 113, and the control unit 114) of the biological signal processing system 12 shown in fig. 1 is an example, and the biological signal processing system 12 is not limited to the present embodiment, and may have any functional unit.

In the present embodiment, the position in time (the value of the axis in time) of the biological signal is described as the time, but the number of samples or the like may be used instead of the time. For example, in samples at certain time intervals, the number of samples advances in proportion to the advance of the time instant. As the time and the number of samples, for example, absolute values may be used, or relative values may be used. For example, in the present embodiment, if a section of a biological signal can be specified, an arbitrary value can be used as the value of the axis in time.

[ examples of biological signals ]

Here, a magnetocardiogram signal, which is a biological signal to be processed in the present embodiment, will be described.

However, since the waveform of the electrocardiographic signal is similar to the waveform of the standard electrocardiographic signal, which is a cardiac waveform, the electrocardiographic signal can be regarded as the same as the waveform of the electrocardiographic signal, the electrocardiographic signal will be described as an example with reference to fig. 2. In the present embodiment, for simplicity of explanation, the characteristic of the waveform of the electrocardiographic signal shown in fig. 2 is also applied to the electrocardiographic signal.

Fig. 2 is a diagram showing an electrocardiogram signal corresponding to a magnetocardiogram signal which is an example of a biological signal according to the embodiment. The electrocardiographic signal shown in fig. 2 is a schematic diagram for convenience of explanation.

Fig. 2 shows a biological signal 201 as an electrocardiogram signal.

In the graph shown in fig. 2, the horizontal axis represents time (time), and the vertical axis represents the level (amplitude in the example of fig. 2) of the signal.

The graph represents a biological signal 201.

On the horizontal axis of the graph, time t1 to time t10 are indicated according to the direction in which the time advances. In the example of fig. 2, these times t1 to t10 are not necessarily equally spaced.

In the present embodiment, the biological signal 201 has a periodic waveform.

The biological signal 201 does not have to have a waveform that completely matches each cycle. For example, if the state of the living body to be measured is unchanged, it is considered that the living body signal 201 repeatedly has the same waveform for each cycle, but when the state of the living body to be measured changes, the waveform of the living body signal 201 may change for each cycle. In addition, when the state of the living body to be measured changes, a periodic change in the living body signal 201 may occur.

In fig. 2, an example of a biological signal 201 is shown for one period 211 and before and after. In the example of fig. 2, the period 211 is divided into a first period 231 to a sixth period 236.

The first period 231 is a period from time t1 to time t2, and is a period of a portion corresponding to the P-wave of the biological signal 201.

The second period 232 is a period from time t2 to time t3, and is a period of a portion (portion corresponding to the PR segment) between the P wave and the QRS group of the biological signal 201.

The third period 233 is a period from time t3 to time t7, and is a period of a portion corresponding to the QRS group of the biological signal 201.

In the third period 233, the biological signal 201 becomes a peak of the Q wave which is the minimum point at time t4, becomes a peak of the R wave which is the maximum point at time t5, and becomes a peak of the S wave which is the minimum point at time t 6.

The fourth period 234 is a period from time T7 to time T8, and is a period of a portion (portion corresponding to the ST segment) between the QRS group and the T wave of the biological signal 201.

The fifth period 235 is a period from time T8 to time T9, and is a period of a portion corresponding to the T wave of the biological signal 201.

In the present embodiment, a waveform of a generally known electrocardiogram is described as an example of the biological signal 201 having a periodic waveform, but the method of interpretation of the electrocardiogram (for example, the name of each portion of the waveform, the method of dividing the waveform, or the like) is not limited, and similarly, the method of interpretation of the magnetocardiogram corresponding to such an electrocardiogram (for example, the name of each portion of the waveform, the method of dividing the waveform, or the like) is not limited.

For example, in signal processing, such a division method that a part or all of the PR segment is included in a part of the P wave or a part of the QRS group is also possible.

For example, in signal processing, a division method in which a part or all of the ST segment is included in a portion of the QRS group or a portion of the T wave is also possible.

For example, in signal processing, a division method of dividing a portion of the QRS group into finer portions is also possible. As specific examples, a method of dividing into a portion from time t3 to time t4, a portion from time t4 to time t6, a portion from time t6 to time t7, and the like is possible.

Here, the electrocardiographic signal, which is the measurement result of the electrocardiograph, is similar to an electrocardiographic signal, which is the measurement result of an electrocardiograph that has been widely used conventionally, and characteristics (features) similar to waveforms (P-wave, QRS group, T-wave, etc.) of the electrocardiographic signal appear in waveforms of the electrocardiographic signal.

The period 211 shown in fig. 2 corresponds to a waveform of 1 beat (1 period amount) which is 1 heartbeat of a person. Then, in the biological signal 201, the same waveform as that of one beat is repeated.

In the present embodiment, the electrocardiographic signal is exemplified as the biological signal 201, but as described above, similar features can be seen also for the magnetocardiographic signal as the measurement signal of the magnetocardiograph.

The biological signal is not limited to the magnetocardiogram signal or the electrocardiographic signal, and other signals may be used.

Specific example of processing method for each section

Here, a specific example of a processing method for each section is shown with respect to a magnetocardiogram signal corresponding to the biological signal 201 shown in fig. 2.

As the plurality of sections, a first period 231 including the P wave shown in fig. 2, a third period 233 including the QRS group shown in fig. 2, and a fifth period 235 including the T wave shown in fig. 2 are exemplified.

As the frequency filtering method, there are exemplified a frequency filtering method a1 having a filtering characteristic of mainly extracting frequency components of 0.1 to 100[ hz ] and a frequency filtering method a2 having a filtering characteristic of mainly extracting frequency components of 0.01 to 25[ hz ].

As the current estimation calculation method, a current estimation calculation method b1 using a predetermined spatial filter method and a current estimation calculation method b2 using another predetermined spatial filter method are exemplified.

As the region extraction method, a region extraction method c1 for extracting a region of an atrium of a heart, a region extraction method c2 for extracting regions of an atrium and a ventricle of a heart, and a region extraction method c3 for extracting a region of a ventricle of a heart are exemplified.

In the first period 231, as the frequency filtering method, the frequency filtering method a2 is used.

In the third period 233, the frequency filtering method a1 is used as the frequency filtering method.

In the fifth period 235, the frequency filtering method a2 is used as the frequency filtering method.

In the present embodiment, a common notch filter process may be applied to all the sections, in addition to the frequency filtering method corresponding to each section. The notch filter may be a notch filter having a filter characteristic for removing a frequency component of a commercial frequency (for example, 50Hz or the like) used for the power supply.

In the first period 231, the current estimation calculation method b2 is used as the current estimation calculation method.

In the third period 233, the current estimation calculation method b1 is used as the current estimation calculation method.

In the fifth period 235, the current estimation calculation method b2 is used as the current estimation calculation method.

In the first period 231, the region extraction process c1 is used as the region extraction process.

In the third period 233, the region extraction process c2 is used as the region extraction process.

In the fifth period 235, the region extraction process c3 is used as the region extraction process.

[ measuring section of biological Signal measuring device ]

Fig. 3 is a diagram showing an example of the measurement unit 301 of the biological signal measurement device 11 according to the embodiment. Fig. 3 schematically shows a surface of the measurement unit 301 facing the upper body of the person to be examined.

Fig. 3 shows an XYZ orthogonal coordinate system as a three-dimensional orthogonal coordinate system for convenience of explanation. Note that, in the example of fig. 3, only the surface of the measuring unit 301 is focused on, and therefore, an XY orthogonal coordinate system that is a two-dimensional orthogonal coordinate system may be used instead of the XYZ orthogonal coordinate system.

In the present embodiment, the measuring unit 301 includes a total of 196 sensor storage units 311 in a matrix shape in which 14 sensors are arranged at equal intervals in a predetermined direction (in the example of fig. 3, the direction parallel to the X axis) and 14 sensors are arranged in a direction orthogonal to the predetermined direction (in the example of fig. 3, the direction parallel to the Y axis).

Then, the measuring unit 301 includes one or more sensors 321 stored in the plurality of sensor storage units 311.

In the present embodiment, each sensor 321 is a magnetocardiograph.

In the example of fig. 3, only one sensor housing 311 is denoted by a reference numeral and only one sensor 321 is denoted by a reference numeral, but these are shown in different colors (white and black).

In the example of fig. 3, the sensor 321 is provided in 64 sensor housing portions 311 out of 196 sensor housing portions 311. The biological signal detected by each sensor 321 becomes a biological signal of one channel, and the biological signals of 64 channels are detected in the whole of 64 sensors 321.

For example, the sensor housing portion 311 is a hole portion provided on the surface of the measurement portion 301, and the sensor 321 is fitted into the hole portion, whereby the measurement portion 301 is provided with the sensor 321.

In the example of fig. 3, the sensors 321 can be attached to and detached from the respective sensor housing portions 311, and the sensors 321 can be provided in any of the sensor housing portions 311, so that the arrangement pattern of the plurality of sensors 321 on the surface of the measuring portion 301 can be changed.

The configuration of providing the plurality of sensors 321 on the surface of the measuring unit 301 is not necessarily limited to the example of fig. 3.

For example, in the example of fig. 3, the sensor 321 can be provided at any position in the plurality of sensor storage units 311, but as another configuration example, the position of the sensor 321 may be fixedly determined. In this case, the respective sensors 321 may be fixedly provided in the measurement unit 301 or may be not detachable.

As a specific example, the surface of the measuring unit 301 may include a total of 64 sensors 321 in a matrix form in which 8 sensors 321 are arranged at equal intervals in a predetermined direction (for example, a direction parallel to the X axis) and 8 sensors 321 are arranged in a direction orthogonal to the predetermined direction (for example, a direction parallel to the Y axis).

In the present embodiment, the biological signals of 64 channels are measured simultaneously in a state where the measuring unit 301 includes 64 sensors 321, but the number of sensors 321 included in the measuring unit 301 may be any value of 1 or more.

Here, in the present embodiment, the biological signal has time-series signal values.

In the present embodiment, the biological signal includes information (signal values of respective measurement points) on measurement results of a plurality of measurement points of the upper body of the person to be measured at each 1 point (one moment). In the biological signal, each of these plural measurement points corresponds to information of the measurement result (signal value of each measurement point) by 1 to 1 at each time (measurement time).

In the present embodiment, a plurality of measurement points of the upper body of the person to be measured are associated with information indicating the shape of the upper body of the person. The information indicating the shape of the upper body of the person may be included in the biological signal, or may be input from the user, the biological signal measuring device 11, or the like to the biological signal processing system 12 separately from the biological signal, and stored in the storage unit 113. The information indicating the shape of the upper body of the person may not necessarily be information indicating the unique shape of each person, and for example, information indicating the shape of a standard person may be used, and in this case, the information may be input to the biological signal processing system 12 in advance and stored in the storage unit 113.

Example of measurement results

Fig. 4 shows a screen 401 showing an example of the current estimation calculation result.

Fig. 4 shows the same XYZ orthogonal coordinate system as that shown in fig. 3 for convenience of explanation. The XYZ orthogonal coordinate system may or may not be displayed, for example. In addition, as in the example of fig. 3, an XY orthogonal coordinate system may be used instead of the XYZ orthogonal coordinate system.

In the example of fig. 4, the shape of the human body (upper body 411) is captured, and a position (sensor position 421) where the sensors 321 face each other and an arrow (estimated current 431) indicating the current estimated by the current estimation calculation process are displayed.

In the example of fig. 4, the intensity (magnetic field distribution) of the measured magnetic field is shown, and the scale 402 thereof is displayed.

In the example of fig. 4, only one sensor position 421 is labeled with a symbol, and only one estimated current 431 is shown.

The estimated current 431 is obtained as a result of analyzing the biological signal measured by the magnetocardiograph by the current estimation calculation method, and indicates the direction and magnitude of the current flowing in the living body. In the illustrated example, the direction of the current is indicated by the direction of the arrow, and the magnitude of the current is indicated by the length of the arrow.

Fig. 4 shows a position A1 as one sensor position and a position A2 as another sensor position.

Fig. 5 is a diagram showing a display example of the magnetocardiogram signal and the electrocardiographic signal according to the embodiment. In the example of fig. 5, for convenience of explanation, an electrocardiographic signal is measured simultaneously with a magnetocardiographic signal.

In the example of fig. 5, a magnetocardiogram signal 2011 measured at a position A1 shown in fig. 4 and a magnetocardiogram signal 2012 measured at a position A2 shown in fig. 4 are shown.

In the example of fig. 5, an electrocardiogram signal 2021 is shown which is measured simultaneously with the magnetocardiogram signals 2011 to 2012.

In the graph shown in fig. 5, the horizontal axis represents the time common to all signals (the magnetocardiogram signals 2011 to 2012 and the electrocardiographic signal 2021), and the vertical axis represents the level (e.g., amplitude) for each signal.

In the example of FIG. 5, a peak appears around 0.3 sec.

Again, the polarity (positive and negative orientation) is reversed in the magnetocardiogram signal 2011 and magnetocardiogram signal 2012, but this is based on the measurement conditions (e.g., measurement location).

In the example of fig. 5, the magnetocardiogram signals 2011, 2012 at two positions A1, A2 are shown, but magnetocardiogram signals at any one or more positions may be displayed.

[ display example of the results of the frequency Filter processing ]

Fig. 6 is a diagram showing a display example of the result of performing the frequency filtering process of the frequency filtering method a1 according to the embodiment on biological signals in all sections.

In the graph shown in fig. 6, the horizontal axis represents time, and the vertical axis represents level (e.g., amplitude).

Fig. 6 shows a frequency-filtered signal group 2201, which is a result of performing frequency filtering processing in the frequency filtering method a1 on biological signals (magnetocardiogram signals in the present embodiment) in all the sections. The frequency filtered signal set 2201 contains 64 channel signals, and these signal waveforms are collectively denoted herein as the frequency filtered signal set 2201.

In the example of fig. 6, a section B1 and a section B2 are shown as specific sections. These sections B1 to B2 are sections specified by the section specification unit 151.

In the example of fig. 6, the two sections B1 to B2 are displayed, but the number of the displayed sections and the number of the displayed sections may be arbitrarily set.

Fig. 7 is a diagram showing an example of the result of performing the frequency filtering process of the frequency filtering method a2 according to the embodiment on biological signals in all sections.

In the graph shown in fig. 7, the horizontal axis represents time, and the vertical axis represents level (e.g., amplitude).

Fig. 7 shows a frequency-filtered signal group 2211, which is a result of performing frequency filtering processing of the frequency filtering method a2 on biological signals (magnetocardiogram signals in the present embodiment) in all the sections. The frequency filtered signal group 2211 contains 64-channel signals, and these signal waveforms are collectively represented herein as the frequency filtered signal group 2211.

In the example of fig. 7, a section B1 and a section B2 are shown as specific sections. These sections B1 to B2 are sections specified by the section specification unit 151.

In the example of fig. 7, the two sections B1 to B2 are displayed, but the number of the displayed sections and the number of the displayed sections may be arbitrarily set.

In the graph shown in fig. 8, the horizontal axis represents time, and the vertical axis represents level (e.g., amplitude).

In the example of fig. 8, the frequency-filtered signal group 2401 is shown only for the section B1 shown in fig. 6.

In the example of fig. 8, additional information 2402 is displayed.

The additional information 2402 is information related to the displayed frequency-filtered signal group 2401, and in the example of fig. 8, includes information indicating that the section B1 is used and information indicating that the frequency filtering processing method a1 is used.

Here, the content of the additional information 2402 may be arbitrary, and may include various information on an interval, a processing method, and the like, for example.

In the graph shown in fig. 9, the horizontal axis represents time, and the vertical axis represents level (e.g., amplitude).

In the example of fig. 9, the frequency-filtered signal group 2411 is shown only for the section B1 shown in fig. 7.

In the example of fig. 9, additional information 2412 is displayed.

The additional information 2412 is information related to the displayed frequency-filtered signal group 2411, and in the example of fig. 9, includes information indicating that the frequency-filtered signal group is the section B1 and information indicating that the frequency-filtering processing method a2 is used.

Here, the content of the additional information 2412 may be arbitrary, and may include various information on an interval, a processing method, and the like, for example.

In the graph shown in fig. 10, the horizontal axis represents time, and the vertical axis represents level (e.g., amplitude).

In the example of fig. 10, the frequency-filtered signal group 2601 is shown only for the section B2 shown in fig. 6.

In the example of fig. 10, additional information 2602 is displayed.

The additional information 2602 is information related to the displayed frequency-filtered signal group 2601, and in the example of fig. 10, includes information indicating that the frequency-filtered signal group is the section B2 and information indicating that the frequency-filtering processing method a1 is used.

Here, the content of the additional information 2602 may be arbitrary, and may include various information on a section, a processing method, and the like, for example.

In the graph shown in fig. 11, the horizontal axis represents time, and the vertical axis represents level (e.g., amplitude).

In the example of fig. 11, the frequency-filtered signal group 2611 is shown only for the section B2 shown in fig. 7.

In the example of fig. 11, additional information 2612 is displayed.

The additional information 2612 is information related to the displayed frequency-filtered signal group 2611, and in the example of fig. 11, includes information indicating that the frequency-filtered signal group is the section B2 and information indicating that the frequency-filtering processing method a2 is used.

Here, the content of the additional information 2612 may be arbitrary, and may include various information on an interval, a processing method, and the like, for example.

[ display example of the result of the current estimation operation Process ]

Fig. 12 is a diagram showing an example of two different times C1 and C2 with respect to the biological signal of the embodiment.

In the graph shown in fig. 12, the horizontal axis represents time, and the vertical axis represents level (e.g., amplitude).

In the example of fig. 12, a frequency filtered signal group 3001 is shown that is identical to the frequency filtered signal group 2201 shown in fig. 6.

In addition, fig. 12 shows two different times C1, C2. The time C1 is a time included in the segment B1 of the QRS group, and the time C2 is a time included in the segment B2 of the T wave.

Fig. 13 shows a screen 501 showing an example of the result (calculation result) of the frequency filtering process of the frequency filtering method a1 and the calculation process of the current estimation calculation method b1 performed on the biological signal at the time point C1.

Fig. 13 shows the same XYZ orthogonal coordinate system as that shown in fig. 3 for convenience of explanation. The XYZ orthogonal coordinate system may or may not be displayed, for example. In addition, as in the example of fig. 3, an XY orthogonal coordinate system may be used instead of the XYZ orthogonal coordinate system.

In the example of fig. 13, an arrow (estimated current 521) indicating the current estimated by the current estimation operation process is displayed in the region of the upper body of the human body. The direction of the estimated current 521 is indicated by the arrow direction, and the magnitude of the estimated current 521 is indicated by the arrow length.

In the example of fig. 13, only one estimated current 521 is denoted by a simplified drawing.

In the example of fig. 13, the additional information 531 is displayed.

The additional information 531 is information related to the displayed calculation processing result, and in the example of fig. 13, includes information indicating the section B1, information indicating the time C1, and information indicating that the current estimation calculation method B1 is used.

Here, the content of the additional information 531 may be arbitrary, and may include various information on an interval, a processing method, and the like, for example.

Fig. 14 shows a screen 502 showing an example of the result (calculation result) of the calculation process of the frequency filtering method a1 and the current estimation calculation method b2 performed on the biological signal at the time point C1.

Fig. 14 shows the same XYZ orthogonal coordinate system as that shown in fig. 3 for convenience of explanation. The XYZ orthogonal coordinate system may or may not be displayed, for example. In addition, as in the example of fig. 3, an XY orthogonal coordinate system may be used instead of the XYZ orthogonal coordinate system.

In the example of fig. 14, an arrow (estimated current 522) indicating the current estimated by the current estimation operation process is displayed on the region of the upper body of the human body. The direction of the estimated current 522 is indicated by the direction of the arrow, and the magnitude of the estimated current 522 is indicated by the length of the arrow.

In the example of fig. 14, only one estimated current 522 is denoted by a symbol for simplifying the drawing.

In the example of fig. 14, additional information 532 is displayed.

The additional information 532 is information related to the displayed operation processing result, and in the example of fig. 14, includes information indicating the section B1, information indicating the time C1, and information indicating that the current estimation operation method B2 is used.

Here, the content of the additional information 532 may be arbitrary, and may include various information on an interval, a processing method, and the like, for example.

Fig. 15 shows a screen 541 showing an example of the result (calculation result) of the frequency filtering process of the frequency filtering method a1 and the calculation process of the current estimation calculation method b1 performed on the biological signal at the time point C2.

Fig. 15 shows the same XYZ orthogonal coordinate system as that shown in fig. 3 for convenience of explanation. The XYZ orthogonal coordinate system may or may not be displayed, for example. In addition, as in the example of fig. 3, an XY orthogonal coordinate system may be used instead of the XYZ orthogonal coordinate system.

In the example of fig. 15, an arrow (estimated current 561) indicating a current estimated by the current estimation operation process is displayed in relation to a region of the upper body of the human body. The direction of the estimated current 561 is indicated by the direction of the arrow, and the magnitude of the estimated current 561 is indicated by the length of the arrow.

In the example of fig. 15, only one estimated current 561 is denoted by a simplified drawing.

In the example of fig. 15, additional information 571 is displayed.

The additional information 571 is information related to the displayed operation processing result, and in the example of fig. 15, includes information indicating the section B2, information indicating the time C2, and information indicating that the current estimation operation method B1 is used.

Here, the content of the additional information 571 may be arbitrary, and may include various information on a section, a processing method, and the like, for example.

Fig. 16 shows a screen 542 showing an example of the result (calculation result) of the frequency filtering process of the frequency filtering method a1 and the calculation process of the current estimation calculation method b2 performed on the biological signal at the time point C2.

Fig. 16 shows the same XYZ orthogonal coordinate system as that shown in fig. 3 for convenience of explanation. The XYZ orthogonal coordinate system may or may not be displayed, for example. In addition, as in the example of fig. 3, an XY orthogonal coordinate system may be used instead of the XYZ orthogonal coordinate system.

In the example of fig. 16, an arrow (estimated current 562) indicating a current estimated by the current estimation operation process is displayed with respect to a region of the upper body of the human body. The direction of the estimated current 562 is indicated by the direction of the arrow, and the magnitude of the estimated current 562 is indicated by the length of the arrow.

In the example of fig. 16, only one estimated current 562 is denoted by a symbol, which simplifies the drawing.

In the example of fig. 16, additional information 572 is displayed.

The additional information 572 is information related to the displayed calculation processing result, and in the example of fig. 16, includes information indicating the section B2, information indicating the time C2, and information indicating that the current estimation calculation method B2 is used.

Here, the content of the additional information 572 may be arbitrary, and may include various information on an interval, a processing method, and the like, for example.

In the examples of fig. 13 to 16, the current estimation calculation method b1 is a method for detecting a case where the flow of current is large, and the current estimation calculation method b2 is a method for detecting the flow of current as a whole.

Thus, the estimated current 522 can be seen throughout the whole in the example of fig. 14 as compared with the example of fig. 13, and the estimated current 562 can be seen throughout the whole in the example of fig. 16 as compared with the example of fig. 15. In contrast, a strong estimated current 521 is easily seen in the example of fig. 13 as compared with the example of fig. 14, and a strong estimated current 561 is easily seen in the example of fig. 15 as compared with the example of fig. 16.

[ one example of a procedure of processing in a biological Signal processing System ]

Fig. 17 is a diagram showing an example of a procedure of a process performed by the biological signal processing system 12 in the biological signal measurement system 1 according to the embodiment.

Fig. 17 illustrates an example in which the control unit 114 reads data of the whole of the biological signal (magnetocardiogram signal in the present embodiment) in time series in advance in the biological signal processing system 12.

(step S1)

The control unit 114 (for example, the section specification unit 151) reads the entire time-series biological signal data (biological data) from the storage unit 113. In this case, the whole of the biological data is already input by the input unit 111 and stored in the storage unit 113.

Then, the process proceeds to step S2.

(step S2)

The section specification unit 151 divides the period of the biological signal into a plurality of sections by the section division unit 171 based on the biological data.

Then, the process proceeds to step S3.

(step S3)

The section specification unit 151 selects a time point of the biological signal to be processed.

The section specification unit 151 also specifies a section to which the time belongs.

Then, the process proceeds to step S4.

Here, the section specification unit 151 may select the time of the biological signal to be processed based on a predetermined rule, or may select the time of the biological signal to be processed based on an instruction of a user or the like, for example.

The rule may be, for example, a rule that sequentially selects one or more predetermined times (for example, a plurality of times with the progress of the time).

(step S4)

The processing control unit 191 selects a processing method based on the section (section to which the selection time belongs) determined by the section determination unit 151.

Then, the process proceeds to step S5.

(step S5)

The processing execution unit 192 executes the processing of the biological signal to be processed by the processing method selected by the processing control unit 191.

Then, the process proceeds to step S6.

(step S6)

The display control unit 153 displays information related to the result of the processing performed by the processing execution unit 192 on the display unit 141. At this time, the display control unit 153 may control the display method (display mode) based on the section (section to which the selection time belongs) or the like determined by the section determining unit 151.

Then, the processing of the present flow ends.

Here, for example, when sequentially processing the biological data at a plurality of predetermined times, the control unit 114 may transition to the process of step S3 again after the process of step S6 is completed.

As another example, after the process of step S6 is completed, when the user or the like instructs the change of the biometric data to be processed, the control unit 114 may again shift to the process of step S3.

The result of the process of step S5 may be fed back to the process of step S2. In the example of fig. 17, such feedback FB11 is schematically shown, but such feedback FB11 may not be performed.

< modification >

A modification of the processing flow shown in fig. 17 is shown.

In the biological signal processing system 12, the control unit 114 may use a configuration for reading time-series biological signal data at any time. The processing according to this modification is particularly effective when the data amount of the entire time-series biological signal is large, for example.

In this modification, first, the section specification unit 151 divides the period of the biological signal into a plurality of sections. In the present modification, the data format of the biological signal is determined, and the section determining unit 151 performs division of the section (definition of the section) in advance based on the format.

As another configuration example, the section specification unit 151 may divide the sections based on the biological data or the like used in the previous processing, or may use the same sections as those used in the previous processing as the division results of the sections.

Next, the section specification unit 151 selects a biological signal to be processed (here, a signal portion to be processed among the biological signals). The selection may be performed using, for example, a waveform of a biological signal. The selection may be performed using, for example, the time of the biological signal to be processed.

Then, the control unit 114 (for example, the section specification unit 151) reads, from the storage unit 113, biological data (biological data corresponding to the time of the biological signal to be processed) selected from the time-series biological signal data (biological data). In this case, in the present modification, the entire biometric data is already input by the input unit 111 and stored in the storage unit 113.

Thereafter, the control unit 114 performs the processing of step S4, step S5, and step S6 shown in fig. 17.

[ another example of the procedure of processing in biological Signal processing System ]

Fig. 18 is a diagram showing another example of the procedure of the processing performed by the biological signal processing system 12 in the biological signal measurement system 1 according to the embodiment.

Fig. 18 illustrates an example in which the biological signal processing system 12 reads a time-series biological signal (magnetocardiogram signal in the present embodiment) from the biological signal measuring device 11 in real time. The biological signal acquisition unit 131 acquires data (biological data) of a biological signal as the time series advances. For example, the storage unit 113 stores the biological signal. The information related to the biological signal is information to be processed thereafter.

(step S21)

The section determining unit 151 determines the period of the biological signal by the period determining unit 172.

In the present embodiment, the period determination unit 172 determines the period of the biological signal based on the biological signal acquired by the biological signal acquisition unit 131.

Here, when the period of the biological signal is known and information indicating the period is stored in the storage unit 113 in advance, the process of determining the period may be omitted.

Then, the section specification unit 151 divides the period of the biological signal into a plurality of sections based on the period specified by the period specification unit 172 by the section division unit 171. The division of the section is dynamically performed.

Then, the process proceeds to step S22.

Here, when the period and the section of the biological signal are known, and the information indicating the period and the information indicating the section are stored in the storage unit 113 in advance, the process of step S21 may be omitted.

In addition, when the method for dividing the section of the biological signal is known, and when the period is determined, the result of dividing the section is determined, and when information indicating the method for dividing the section is stored in the storage unit 113 in advance, the process of dividing the section may be omitted.

(step S22)

The section specification unit 151 selects the position (time position, time, or the like) of the biological signal to be processed.

The section specification unit 151 specifies a section to which the position belongs.

Then, the process proceeds to step S23.

Here, the section specification unit 151 may select the position of the biological signal to be processed based on a predetermined rule, or may select the position of the biological signal to be processed based on an instruction of a user or the like, for example.

The rule may be, for example, a rule for sequentially selecting one or more predetermined positions (for example, a plurality of positions that progress with time).

(step S23)

The biological signal processing unit 152 reads the data (biological data) of the biological signal at the position selected by the section determining unit 151.

Then, the process proceeds to step S24.

(step S24)

The processing control unit 191 selects a processing method based on the section (section to which the selection position belongs) determined by the section determination unit 151.

Then, the process proceeds to step S25.

(step S25)

Then, the process proceeds to step S26.

(step S26)

The display control unit 153 displays information related to the result of the processing performed by the processing execution unit 192 on the display unit 141. At this time, the display control unit 153 may control the display method (display mode) based on the section (section to which the selected position belongs) or the like determined by the section determining unit 151.

Then, the processing of the present flow ends.

Here, for example, when sequentially processing the biological data at a plurality of predetermined positions (timings), the control unit 114 may transition to the processing of step S22 again after the processing of step S26 is completed.

As another example, after the process of step S26 is completed, when the user or the like instructs the change of the biometric data to be processed, the control unit 114 may again shift to the process of step S21.

The result of the process of step S25 may be fed back to the process of step S21. In the example of fig. 18, such feedback FB12 is schematically shown, but such feedback FB12 may not be performed.

In the case where the period is determined and the section is divided in the process of step S21, these may be used fixedly or may be updated at an arbitrary timing.

Specifically, the period specifying unit 172 may specify the period of the biological signal at an arbitrary timing, and update the specified period to a newly specified period.

As one configuration example, the period specifying unit 172 specifies the period of the biological signal based on data (biological data) different from the biological data used when the period of the biological signal was last specified. The data (biological data) different from the biological data used when the period of the biological signal was last determined is, for example, data new in time series compared with the biological data used when the period of the biological signal was last determined.

As another configuration example, the period specifying unit 172 may update the period so that the average value thereof is a new period by averaging the specified periods of the predetermined number of times. The prescribed number of times may be any number of times. The predetermined number of times may be, for example, the latest one time and the number of consecutive determinations in the past (one less than the predetermined number of times). In the biological signal processing system 12 according to the present embodiment, the period can be stabilized by such averaging.

The section dividing unit 171 may divide the period of the biological signal into a plurality of sections based on the period updated by the period specifying unit 172, and update the division result of the previous section to the division result of the new section.

As another configuration example, the section dividing unit 171 may update the section so that the division result of the section is averaged a predetermined number of times and the average result is a new section. The prescribed number of times may be any number of times. The predetermined number of times may be, for example, the latest one time and the number of consecutive determinations in the past (one less than the predetermined number of times). In the biological signal processing system 12 according to the present embodiment, the division of the section can be stabilized by such averaging.

In the initial stage of the processing flow shown in fig. 18, a temporary initial value may be set as the period of the biological signal, and then the accuracy of the period may be improved by updating the initial value. In this case, the determination of the initial period may be omitted in the process of step S21.

In this case, in the initial stage of the processing flow shown in fig. 18, a temporary initial value may be set for the division result of the section, and then the accuracy of division of the section may be improved by updating the initial value. In this case, the process of step S21 may be omitted.

[ measuring section of biological Signal measuring device according to modification ]

Fig. 19 is a diagram showing an example of measurement units 601 to 602 of the biological signal measurement device according to the modification of the embodiment.

Fig. 19 shows the same XYZ orthogonal coordinate system as that shown in fig. 3 for convenience of explanation.

In the example of fig. 19, two measuring units 601 to 602 having the same functions as the measuring unit 301 shown in fig. 3 are provided.

In the example of fig. 19, the surface of the measurement unit 601 is arranged parallel to the XY plane, and the surface of the measurement unit 602 is arranged parallel to the YZ plane. The measurement unit 601 and the measurement unit 602 are disposed so as to intersect each other in an orthogonal manner.

In the example of fig. 19, measurement is performed in a state in which the front surface of the upper body of the person is opposed to the surface of one measurement unit (for example, measurement unit 601) and the side surface of the upper body of the person is opposed to the surface of the other measurement unit (for example, measurement unit 602).

The surface of the measurement section 601 includes a sensor area 621, which is an area of a sensor provided with a plurality of channels.

Similarly, a sensor area 622, which is an area of the sensor where a plurality of channels are provided, is provided on the surface of the measurement unit 602.

These sensor areas 621 to 622 are similar to, for example, the area of the sensor 321 in which a plurality of channels are provided on the surface of the measuring unit 301 shown in fig. 3.

By simultaneously performing measurement using the two measurement units 601 to 602 shown in fig. 19, measurement can be performed in different directions (directions orthogonal to each other in the example of fig. 19) at the same time.

Other arbitrary configurations may be used as the number of sensors included in each of the measuring units 601 to 602, the arrangement pattern of the sensors, the relative arrangement (for example, the angle of intersection) of the two measuring units 601 to 602, or the like.

The biological signal measuring device may be configured to be capable of measuring using 3 or more measuring units simultaneously.

In the present modification, the biological signal measuring device 11 is described as including a plurality of measuring units (two measuring units 601 to 602 in the example of fig. 19) for convenience of description, but these measuring units may be understood as not separate but integrated measuring units.

[ concerning the above embodiment ]

As described above, in the biological signal measurement system 1 according to the present embodiment, the biological signal processing system 12 can perform appropriate processing for each section characteristic of the biological signal.

In the biological signal processing system 12 of the present embodiment, for example, by selecting a processing method corresponding to a characteristic (for example, waveform or the like) of each section so that a measurement result of a biological signal or an analysis result thereof becomes more accurate, it is possible to perform an optimal process for each section, and thus increase the added value of the system.

In the biological signal processing system 12 according to the present embodiment, for example, the biological signal can be divided into a plurality of sections in time according to the characteristics of the biological signal.

In the biological signal processing system 12 according to the present embodiment, the processing result for each section may be fed back to the section determination (for example, section division or the like) of the section determination unit 151.

In the present embodiment, a magnetocardiogram signal is used as a biological signal. In the waveform of the magnetocardiogram signal, there are characteristic intervals in which amplitudes and frequencies are different, such as P-wave, QRS group, and T-wave. In the biological signal processing system 12 according to the present embodiment, the processing result is optimized by switching to the optimal processing method corresponding to each section for each section.

Here, in the magnetocardiograph, analysis and display of various information distributed in three dimensions as compared with the electrocardiograph are expected, and more accurate analysis and display of information distributed in space are expected. The biological signal processing system 12 according to the present embodiment can satisfy the expectation that, for example, the calculation method of the signal data used for three-dimensional spatial distribution estimation can be optimized for each target waveform (each section).

In the biological signal processing system 12 according to the present embodiment, a period is specified for a biological signal acquired in real time, and a temporal position of the biological signal to be processed can be estimated based on the specified period.

Therefore, the biological signal processing system 12 according to the present embodiment can cope with the processing of the biological signal in real time.

In the biological signal processing system 12 according to the present embodiment, when information such as a processing result of a certain section is displayed, the display mode can be controlled based on the section.

Therefore, the biological signal processing system 12 according to the present embodiment can display the biological signal in an appropriate display manner for each section.

For example, in the biological signal processing system 12 of the present embodiment, additional information useful for the user can be presented by displaying information or the like identifying the processing method applied to each section.

In the biological signal processing system 12 according to the present embodiment, the biological signal processing system is effective in processing a continuous signal in which waveforms (waveforms of P-wave, QRS group, T-wave, and the like in the case of a magnetocardiogram signal) having different characteristics are mixed for each of a plurality of sections, that is, a set of the plurality of sections is periodically repeated in time.

Structure case

As one configuration example, the biological signal processing system (in the present embodiment, the biological signal processing system 12) includes: a section specification unit (section specification unit 151 in the present embodiment) that specifies a section including a temporal position of a processing target for a biological signal (for example, a magnetocardiogram signal) that is divided into a plurality of sections in time; a processing control unit (in the present embodiment, the processing control unit 191) that selects a processing method (for example, one or more of a frequency filtering method, a current estimation calculation method, a region extraction method, and the like) for processing the biological signal at the time position of the processing target based on the section determined by the section determining unit; and a processing execution unit (in this embodiment, processing execution unit 192) that executes processing of the biological signal by the processing method selected by the processing control unit.

As one configuration example, in the biological signal processing system, the processing method includes one or more of a frequency filtering method for performing a process of frequency filtering, an operation method for performing a process of a predetermined operation, and a region extraction method for extracting a region to be processed.

As one configuration example, in the biological signal processing system, the section specification unit includes a section dividing unit (in the present embodiment, the section dividing unit 171) that divides the period of the biological signal into a plurality of sections.

As one configuration example, in the biological signal processing system, the section dividing unit divides the section based on the result of the processing performed by the processing executing unit.

As one configuration example, the biological signal processing system includes a period specifying unit (period specifying unit 172 in the present embodiment) that specifies a period for a biological signal acquired in real time. The section specification unit estimates the temporal position of the processing target based on the period specified by the period specification unit.

As one configuration example, the biological signal processing system includes: a display unit (display unit 141 in the present embodiment) that displays information related to a result of the process performed by the process execution unit; and a display control unit (display control unit 153 in the present embodiment) that controls the display mode of the display unit based on the section determined by the section determining unit.

As one configuration example, in the biological signal processing system, the display control unit controls the display mode so that information on the processing method selected by the processing control unit is displayed by the display unit.

As one configuration example, a biological signal measurement system (biological signal measurement system 1 in the present embodiment) is provided with a biological signal processing system and a biological signal measurement device (biological signal measurement device 11 in the present embodiment) that measures biological signals.

Further, a program for realizing the functions of any of the components in any of the above-described devices may be recorded on a computer-readable storage medium, and the program may be read and executed by a computer system. The term "computer system" as used herein includes hardware such as an operating system and peripheral devices. The "computer-readable storage medium" refers to a removable medium such as a flexible disk, a magnetic disk, a ROM, or a CD (Compact Disc) -ROM (Read Only Memory), or a storage device such as a hard disk incorporated in a computer system. The "computer-readable storage medium" includes a medium that holds a program for a certain period of time, such as a server or a volatile memory in a computer system serving as a client in the case where the program is transmitted via a network such as the internet or a communication line such as a telephone line. For example, the volatile memory may be RAM (Random Access Memory (random access memory)). The storage medium may be, for example, a non-transitory storage medium.

The program may be transferred from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the "transmission medium" for transmitting the program refers to a medium having a function of transmitting information such as a network such as the internet or a communication line such as a telephone line.

The above-described program may be used to realize a part of the above-described functions. The program may be a program that can realize the functions described above by combining with a program already recorded in a computer system, that is, a so-called differential file. The differencing file may also be referred to as a differencing program.

The functions of any of the components in any of the above-described devices may be realized by a processor. For example, the processes in the embodiments may be implemented by a processor that operates based on information such as a program and a computer-readable storage medium that stores information such as a program. Here, the processor may realize the functions of each unit by, for example, individual hardware, or may realize the functions of each unit by integral hardware. For example, the processor may include hardware that may include at least one of circuitry to process digital signals and circuitry to process analog signals. For example, the processor may be configured using one or both of one or more circuit devices or one or more circuit elements mounted on the circuit board. As the circuit device, an IC (Integrated Circuit (integrated circuit)) or the like can be used, and as the circuit element, a resistor, a capacitor, or the like can be used.

The processor may be, for example, a CPU. However, the processor is not limited to the CPU, and various processors such as GPU (Graphics Processing Unit (graphics processing unit)) and DSP (Digital Signal Processor (digital signal processor)) may be used. The processor may be a hardware circuit based on an ASIC (Application Specific Integrated Circuit (application specific integrated circuit)), for example. The processor may be constituted by a plurality of CPUs, or may be constituted by hardware circuits of a plurality of ASICs, for example. The processor may be configured by a combination of hardware circuits including a plurality of CPUs and a plurality of ASICs, for example. The processor may include, for example, one or more of an amplifying circuit, a filter circuit, and the like that processes the analog signal.

Although the embodiments of the present invention have been described in detail with reference to the drawings, specific configurations are not limited to the embodiments, and include designs and the like that do not depart from the scope of the present invention.

Description of symbols

1 … biological Signal measurement System, 11 … biological Signal measurement device, 12 … biological Signal processing System, 111 … input section, 112 … output section, 113 … storage section, 114 … control section, 131 … biological Signal acquisition section, 141 … display section, 151 … section determination section, 152 … biological Signal processing section, 153 … display control section, 171 … section division section, 172 … cycle determination section, 191 … processing control section, 192 … processing execution section, 201 … biological Signal, 211 … cycle, 231 … first period, 232 … second period, 233 … third period, 234 … fourth period, 235 … fifth period, 236 … sixth period 301, 601 to 602 … measuring unit, 311 … sensor storage unit, 321 … sensor, 401, 501 to 502, 541 to 542 … screen, 402 … scale, 411 upper body portion, 421 … sensor position, 431, 521 to 522, 561 to 562 … estimated current, 621 to 622 … sensor region, 2011 to 2012 … magnetocardiogram signal, 2021 … electrocardiograph signal, 2201, 2211, 2401, 2411, 2601, 2611, 3001 … frequency-filtered signal group, 531 to 532, 571 to 572, 2402, 2412, 2602, 2612 … additional information, A1 to A2 … position, B1 to B2 … section, C1 to C2 … time, FB1, FB11 to FB12 … feedback.

Claims

1. A biological signal processing system, wherein,

the device is provided with:

a section specification unit that specifies a section including a temporal position of a processing object for a biological signal divided into a plurality of sections in time;

a processing control unit that selects a processing method for processing the biological signal at the time position of the processing target based on the section determined by the section determination unit; and

and a processing execution unit that executes processing of the biological signal by the processing method selected by the processing control unit.

2. The biosignal processing system of claim 1, wherein,

the processing method includes one or more of a frequency filtering method for performing a frequency filtering process, an operation method for performing a predetermined operation process, and a region extraction method for extracting a region to be processed.

3. The biosignal processing system according to claim 1 or 2, wherein,

the section specification unit includes a section dividing unit that divides a period of the biological signal into the plurality of sections.

4. The biosignal processing system according to claim 3, wherein,

The section dividing unit divides the section based on the result of the process performed by the process executing unit.

5. The biosignal processing system according to any one of claims 1-4, wherein,

the biological signal processing system includes a period specifying unit that specifies a period for the biological signal acquired in real time, and the section specifying unit estimates a temporal position of the processing target based on the period specified by the period specifying unit.

6. The biosignal processing system according to any one of claims 1-5, wherein,

the biological signal processing system includes: a display unit that displays information related to a result of the process performed by the process execution unit; and a display control unit that controls a display mode of the display unit based on the section determined by the section determination unit.

7. The biosignal processing system of claim 6, wherein,

the display control unit controls the display mode so that information related to the processing method selected by the processing control unit is displayed on the display unit.

8. A biological signal measuring system, wherein,

The device is provided with:

the biological signal processing system of any one of claims 1 to 7; and

a biological signal measuring device that measures the biological signal.